R23 IT · 2-2 ✓ VERIFIED VS. PUBLISHED SYLLABUS 2026-07-11

Optimization Techniques JNTUK R23 · IT · semester 2-2 · syllabus

This JNTUK R23 humanities and management course is listed for Information Technology (IT). It is listed in semester 2-2. It carries 2 credits. The published coverage runs across 5 units, from Introduction and Classical Optimization Techniques through Dynamic Programming.

Verified vs. published syllabus Checked

Offered in

BranchesSemesterLTPC
IT 2-2 20 02
SOURCE DOCKET

Published evidence

✓ Verified
Source
Checked
Record
5 published units

Verification scopeSubject name, credits, unit-wise syllabus, and course outcomes are sourced directly from JNTUK's own official R23 course structure and syllabus document, not an autonomous college's adaptation.

What you'll be able to do

  • State and formulate the optimization problem, without and with constraints, by using design variables from an engineering design problem.
  • Apply classical optimization techniques to minimize or maximize a multi-variable objective function, without or with constraints, and arrive at an optimal solution.
  • Apply and Solve transportation and assignment problem by using Linear programming Simplex method.
  • Apply gradient and non-gradient methods to nonlinear optimization problems and use interior or exterior penalty functions for the constraints to derive the optimal solutions.
  • Formulate and apply Dynamic programming technique to inventory control, production planning, engineering design problems etc. to reach a final optimal solution from the current optimal solution.

5 units, from Introduction and Classical Optimization Techniques to Dynamic Programming. Tick off units as you cover them — your progress stays on this device.

Unit-wise syllabus

0 / 5 COVERED